Negotiable
Undetermined
Remote
Edinburgh, Scotland, United Kingdom
Summary: The role of Electrical Engineering AI Trainer involves leveraging deep technical expertise in electrical engineering to train and enhance AI models. Responsibilities include designing complex engineering problems, authoring benchmark solutions, auditing AI outputs for accuracy, and providing feedback to improve AI reasoning. This is a fully remote, flexible contract position allowing for a commitment of 10–40 hours per week. Candidates should possess advanced degrees in electrical engineering or related fields and strong foundational knowledge in core engineering areas.
Key Responsibilities:
- Design Challenging Problems — Create advanced electrical engineering problems across domains including circuit analysis, power systems, signal processing, electromagnetics, and control systems to rigorously test AI performance
- Author Gold-Standard Solutions — Write precise, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation
- Audit Technical Accuracy — Review AI-generated outputs including code, circuit diagrams, and mathematical proofs for correctness, safety, and adherence to engineering standards (IEEE, NEC, etc.)
- Sharpen AI Reasoning — Identify logical gaps or errors in AI-generated reasoning and provide structured feedback that helps models think more like an expert engineer
Key Skills:
- Pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field
- Strong foundational knowledge in one or more core areas: VLSI, control systems, telecommunications, power electronics, or embedded systems
- Able to communicate complex technical concepts clearly and precisely in writing
- Highly detail-oriented when reviewing equations, circuit logic, and technical documentation
- No prior AI experience required — your engineering expertise is what matters
- Experience with data annotation, technical writing, or quality evaluation (nice to have)
- Familiarity with simulation tools (MATLAB, SPICE, etc.) (nice to have)
- Background in reviewing or grading engineering work (nice to have)
Salary (Rate): £35.00/hr
City: Edinburgh
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Electrical Engineering — AI Trainer
About The Role
We're looking for Electrical Engineering experts to help train and improve the next generation of AI models. Your deep technical knowledge will directly shape how AI understands and reasons through complex engineering problems — from circuit analysis to signal processing to power systems. This is a fully remote, flexible contract role. You set your hours and work on your own schedule.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design Challenging Problems — Create advanced electrical engineering problems across domains including circuit analysis, power systems, signal processing, electromagnetics, and control systems to rigorously test AI performance
- Author Gold-Standard Solutions — Write precise, step-by-step technical solutions that serve as benchmarks for AI learning and evaluation
- Audit Technical Accuracy — Review AI-generated outputs including code, circuit diagrams, and mathematical proofs for correctness, safety, and adherence to engineering standards (IEEE, NEC, etc.)
- Sharpen AI Reasoning — Identify logical gaps or errors in AI-generated reasoning and provide structured feedback that helps models think more like an expert engineer
Who You Are
Pursuing or holding a Master's or PhD in Electrical Engineering, Electronic Engineering, or a closely related field
Strong foundational knowledge in one or more core areas: VLSI, control systems, telecommunications, power electronics, or embedded systems
Able to communicate complex technical concepts clearly and precisely in writing
Highly detail-oriented when reviewing equations, circuit logic, and technical documentation
No prior AI experience required — your engineering expertise is what matters
Nice to Have
- Experience with data annotation, technical writing, or quality evaluation
- Familiarity with simulation tools (MATLAB, SPICE, etc.)
- Background in reviewing or grading engineering work
Why Join Us
- Work on cutting-edge AI projects in collaboration with world-leading research labs
- Fully remote and async — work when and where it suits you
- Freelance perks: autonomy, flexibility, and variety in your work
- Make a real impact on how AI handles technical engineering reasoning
- Potential for ongoing work and contract extension